Countries Tracked
197
Avg Fertility (2024)
2.42
Region with Highest Child Mortality
Africa
A correlation matrix like this quantifies the linear relationship between two continuous variables, with values ranging from โ1 (a perfect negative linear relationship) to +1 (a perfect positive linear relationship), and values near 0 indicating little to no linear association.
Generally, coefficients in the range of 0.80โ1.00 (or โ0.80 to โ1.00) suggest a very strong relationship, implying that most of the variance in one variable is linearly explained by the other.
Correlations between 0.60 and 0.80 (or โ0.60 to โ0.80) represent a strong relationship, while those between 0.40 and 0.60 (or โ0.40 to โ0.60) are considered moderate.
Values below 0.40 indicate a weak relationship, even if statistically significant, and should be interpreted with caution as other factors might be influencing the results.
| country | year | fertility_rate | child_mortality | country_clean | iso3 | continent | |
|---|---|---|---|---|---|---|---|
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๐ About This Dashboard
This dashboard presents a comprehensive exploration of global trends in fertility rates and child mortality from 2000 to 2024, leveraging data from the Gapminder Foundation.
๐ Why This Matters Fertility and child mortality are powerful indicators of a regionโs health system, education, and socioeconomic development.
Understanding these trends helps uncover inequities, track progress toward global health goals, and identify priority areas for intervention.
๐ Key Global Insights ๐ Fertility rates have steadily declined across all continents, with the most notable shifts observed in Africa and Asia.
๐ง Child mortality has dropped significantly, particularly in countries with improved access to healthcare, vaccinations, and maternal education.
๐ Countries with lower fertility rates often also exhibit lower child mortality, highlighting the importance of family planning and womenโs empowerment.
๐ ๏ธ Technical Overview Built using Python, Plotly, Pandas, and Quarto for interactive and reproducible storytelling.
Key features include:
๐ Yearly animation of trends (2000โ2024)
๐ Choropleth maps for spatial insights
๐งฎ Value boxes summarizing key metrics
๐ Trend charts by region
๐ฅ Downloadable data tables and visualizations
๐ฏ Goals of the Project * To make complex development data accessible and visually compelling.
To support data-driven storytelling around human development indicators.
To empower users to explore, compare, and interpret patterns across countries and continents.